What Impact You'll Have:
We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for collecting data, interpretation of data for business analysis. Candidates for this position will be able to sift through data, apply statistics, compare data points, and create products for external customers. The data engineer will provide extensive technical expertise and develop innovative solutions to complex problems. We want innovative problem solvers that are passionate about data and enjoy a challenge.
What You'll be Owning:
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Creates database models and components that meet product specification and development schedules for customer/customers
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Participates in large system and subsystem planning
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Designs data pipelines, data models, profiling/cleansing the data, and performance tuning
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Develops and maintains data pipelines, data workflows, ETL/ELT scripts or packages
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Prepares comprehensive test plans
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Collaborates and provides influence to team on project deliverables
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Acts as a technical resource for lower-level engineers
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Researches and integrates design strategies, product specifications, development schedules, and user expectations into product capabilities
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Develops technical designs and specifications for complex data pipelines/data flows for customer/customers
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Uses ETL tools or languages to build, test, and maintain product modules, components, and subsystems
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Creates quality deliverables for customers
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Drives full life-cycle of services/solution delivery for project(s)
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Oversees technical design, development, and implementation of large projects and/or major data pipelines/data flows and solutions for customer/customers
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Identifies data gaps and potential remediation or integration activity for consideration by PM and/or customer
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Responsible for services/solution delivery and customer satisfaction of program(s)
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Sets strategy and enforces quality assurance program for program and project deliverables
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Provides leadership to team members on program and project deliverables
What You Must Have:
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Active TS clearance is required with the ability to obtain a CI Poly
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10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
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Ability to understand requirements and map them into the existing data environment or create new structures needed
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Experience with SQL, Python, PySpark, leading ETL technologies and approaches
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Independent, creative, and determined • Strong SQL and data management experience
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Experience with machine learning and statistical analysis
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Experience with modern programming languages such as Python
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Strong analytical skills with the ability to organize, analyze and prioritize
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Experience or exposure to one or more: Redshift, Teradata, Snowflake
What Would be Nice to Have:
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Familiarity with NGA data holdings
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Familiarity with Geospatial database structures and tools
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Familiarity with Metadata management tools like Immuta / Alation / Collibra